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Feedback Loop

Feedback loops: How nature gets its rhythms - Anje-Margriet Neutel
While feedback loops are a bummer at band practice, they are essential in nature. What does nature’s feedback look like, and how does it build the resilience of our world? Anje-Margriet Neutel describes some common positive and negative feedback loops, examining how an ecosystem’s many loops come together to make its ‘trademark sound.’ Lesson by Anje-Margriet Neutel, animation by Brad Purnell.

Feedback loops in data systems - Matthieu Ranger
When 'filter bubbles' came to public attention, it became pressing that systems that consume their own recommendations as data can be subject to noxious feedback loops. In this talk, we go over several examples of feedback loops, then discuss the technical and management issues related. Montréal-Python 74: Virtual Echo http://montrealpython.org/2019/03/mp74/

Feedback loops: How nature gets its rhythms - Anje-Margriet Neutel
While feedback loops are a bummer at band practice, they are essential in nature. What does nature’s feedback look like, and how does it build the resilience of our world? Anje-Margriet Neutel describes some common positive and negative feedback loops, examining how an ecosystem’s many loops come together to make its ‘trademark sound.’ Lesson by Anje-Margriet Neutel, animation by Brad Purnell.

How Games Use Feedback Loops | Game Maker’s Toolkit
Playing Pyre over Christmas got me thinking about feedback loops: the reward structures in games that can reinforce or balance out winners and losers. In this episode I’ll explain what this all means, and talk about the design of Pyre’s positive and negative loops.

Feedback Loop - Filter Bubbles

How Filter Bubbles Isolate You
In this video, you’ll learn more about how filter bubbles work to automatically curate content for you when you're online. Our text-based lesson We hope you enjoy!

Filter Bubbles and Echo Chambers
You've probably heard the term Filter Bubble and/or Echo Chamber at least once or twice in the past few months. It's a term that has been circling the media for some time about Facebook and the 2016 U.S. Presidential Election. But what do they mean exactly? How does it relate to the internet or more specifically Facebook and Google? How does it affect you? Watch the video to find out! Don't forget to leave us a comment about what you think and how Filter Bubble or Echo Chamber relates to you! Scene 1 “Filter Bubble” is a theory that the algorithms from companies like Facebook and Google bases the information given to you on data acquired from things like, your search history, your past click behavior, the type of your computer and your location. Therefore, limiting the topics that reach you to a bubble of only your own formulated interests and personalized search subjects. Scene 2 The term was coined by Eli Pariser who wrote a book on this subject explaining that these algorithms are “closing us off to new ideas, new subjects and important information ”. What he means is that you are not given information outside your own political views, religious views or even other data like for example updates on women's rights and animal rights.

Beware online "filter bubbles" | Eli Pariser
http://www.ted.com As web companies strive to tailor their services (including news and search results) to our personal tastes, there's a dangerous unintended consequence: We get trapped in a "filter bubble" and don't get exposed to information that could challenge or broaden our worldview. Eli Pariser argues powerfully that this will ultimately prove to be bad for us and bad for democracy. Read our community Q&A with Eli (featuring 10 ways to turn off the filter bubble): http://on.ted.com/PariserQA

Feedback loops in data systems - Matthieu Ranger
When 'filter bubbles' came to public attention, it became pressing that systems that consume their own recommendations as data can be subject to noxious feedback loops. In this talk, we go over several examples of feedback loops, then discuss the technical and management issues related. Montréal-Python 74: Virtual Echo http://montrealpython.org/2019/03/mp74/

Unintended Feedback Loop

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